WGU D467 EXPLORING DATA OA
EXAM STUDY GUIDE 2026/2027
ACCURATE QUESTIONS WITH
CORRECT DETAILED SOLUTIONS ||
100% GUARANTEED PASS
<NEWEST VERSION>
1. Data types - ANSWER ✔ Different categories of data (e.g., quantitative,
qualitative, discrete, continuous).
2. Data structures - ANSWER ✔ How data is organized (e.g., structured,
unstructured, wide, long).
3. Data formats - ANSWER ✔ How data is presented (e.g., spreadsheets,
databases).
4. Data sources - ANSWER ✔ Origin of data (e.g., first-party, second-party,
third-party, open data).
5. Responsible data collection - ANSWER ✔ Factors to consider, including
bias, credibility, and ethical practices.
6. Bias in data - ANSWER ✔ Types of bias (e.g., sampling bias,
interpretation bias) and how to mitigate them.
7. Consent - ANSWER ✔ Obtaining permission for data use.
8. Data anonymization - ANSWER ✔ Protecting sensitive data.
,9. Personally Identifiable Information (PII) - ANSWER ✔ Data that can be
used to identify an individual.
10.Open data - ANSWER ✔ Free access, usage, and sharing of data.
11.Data security - ANSWER ✔ Protecting data from unauthorized access or
misuse.
12.Privacy principles - ANSWER ✔ Freedom from inappropriate data use and
the right to data access.
13.Data transformation - ANSWER ✔ Changing data's format or structure.
14.Data organization - ANSWER ✔ Techniques for managing data.
15.Data Security - ANSWER ✔ Limits access to data by enabling safety
feature. Data analysts must find a way to balance data security with the
needs of the analysis
16.Data Compromise - ANSWER ✔ Data be can compromised every time it
is replicated, transferred, or manipulated in any way
17.Data manipulation - ANSWER ✔ The Process of changing the date
18.Data compromise - ANSWER ✔ Can only be compromised through
human error, viruses, malware, hacking, and system failures
19.Sample Size - ANSWER ✔ Using part of the population that is
representative of the population
20.Population - ANSWER ✔ Entire group that you are interested in your
study
21.Sample - ANSWER ✔ Subset of population, do not use less than 30
22.Confidence Level - ANSWER ✔ Targeted before you start your study, it
will affect your margin of error at end of study. Mostly used is 95% but 90%
will work.
,23.Proxy Data - ANSWER ✔ Used when data to support a business objective
is not available
24.Sample Size Calculator - ANSWER ✔ Tells you how many people you
need to interview to get results that represents the target population.
25.Calculating Margin of Error - ANSWER ✔ Requires population Size,
Confidence Level, Sample Size
26.Dirty data - ANSWER ✔ Incomplete, incorrect, or irrelevant to the
problem trying to be solved.
27.Clean Data - ANSWER ✔ Complete, Correct, and relevant to the problem
you are trying to be solve
28.Spreadsheet Applications - ANSWER ✔ Cleaning tools such as conditional
formatting, removing duplicates, formatting dates, splitting text to columns
29.CONCATENATE - ANSWER ✔ Function that joins together two or more
text strings
30.Data Cleaning - ANSWER ✔ the process of checking data for errors after
the data have been entered in a computer file
31.SQL Function: CAST - ANSWER ✔ Used to typecast text strings into
floats and convert anything from one data type to another. It can also be used
to change strings into other data types like time and date
32.SQL Function: COALESCE - ANSWER ✔ Used to return non-null values
in a list.
33.SQL FUNCTION: UPDATE - ANSWER ✔ Modifies values in certain
cells of a table based on conditions
34.data mapping - ANSWER ✔
, 35.camelcase - ANSWER ✔ camelCase, first letter of second word is
capitalized
36.Data analysis - ANSWER ✔ The process of inspecting, cleansing,
transforming, and modeling data to discover useful information.
37.Exploratory data analysis (EDA) - ANSWER ✔ To summarize the main
characteristics of a dataset and uncover patterns.
38.Common tool for data analysis - ANSWER ✔ Spreadsheet software (e.g.,
Excel, Google Sheets).
39.Common programming language for data analysis - ANSWER ✔ Python.
40.Common statistical software package for data analysis - ANSWER ✔
SPSS.
41.Descriptive statistics - ANSWER ✔ Summarize data.
42.Inferential statistics - ANSWER ✔ Make predictions or inferences about a
population based on a sample.
43.Purpose of data visualization - ANSWER ✔ To present data in a graphical
or pictorial format to make it easier to understand.
44.Best chart for showing trends over time - ANSWER ✔ Line chart.
45.Best chart for comparing categories - ANSWER ✔ Bar chart.
46.Best chart for showing the distribution of a single variable - ANSWER ✔
Histogram.
47.Dashboard in data visualization - ANSWER ✔ A collection of
visualizations that provide a comprehensive overview of data.
48.Purpose of labeling charts and graphs - ANSWER ✔ To provide context
and make the visualization easy to understand.
EXAM STUDY GUIDE 2026/2027
ACCURATE QUESTIONS WITH
CORRECT DETAILED SOLUTIONS ||
100% GUARANTEED PASS
<NEWEST VERSION>
1. Data types - ANSWER ✔ Different categories of data (e.g., quantitative,
qualitative, discrete, continuous).
2. Data structures - ANSWER ✔ How data is organized (e.g., structured,
unstructured, wide, long).
3. Data formats - ANSWER ✔ How data is presented (e.g., spreadsheets,
databases).
4. Data sources - ANSWER ✔ Origin of data (e.g., first-party, second-party,
third-party, open data).
5. Responsible data collection - ANSWER ✔ Factors to consider, including
bias, credibility, and ethical practices.
6. Bias in data - ANSWER ✔ Types of bias (e.g., sampling bias,
interpretation bias) and how to mitigate them.
7. Consent - ANSWER ✔ Obtaining permission for data use.
8. Data anonymization - ANSWER ✔ Protecting sensitive data.
,9. Personally Identifiable Information (PII) - ANSWER ✔ Data that can be
used to identify an individual.
10.Open data - ANSWER ✔ Free access, usage, and sharing of data.
11.Data security - ANSWER ✔ Protecting data from unauthorized access or
misuse.
12.Privacy principles - ANSWER ✔ Freedom from inappropriate data use and
the right to data access.
13.Data transformation - ANSWER ✔ Changing data's format or structure.
14.Data organization - ANSWER ✔ Techniques for managing data.
15.Data Security - ANSWER ✔ Limits access to data by enabling safety
feature. Data analysts must find a way to balance data security with the
needs of the analysis
16.Data Compromise - ANSWER ✔ Data be can compromised every time it
is replicated, transferred, or manipulated in any way
17.Data manipulation - ANSWER ✔ The Process of changing the date
18.Data compromise - ANSWER ✔ Can only be compromised through
human error, viruses, malware, hacking, and system failures
19.Sample Size - ANSWER ✔ Using part of the population that is
representative of the population
20.Population - ANSWER ✔ Entire group that you are interested in your
study
21.Sample - ANSWER ✔ Subset of population, do not use less than 30
22.Confidence Level - ANSWER ✔ Targeted before you start your study, it
will affect your margin of error at end of study. Mostly used is 95% but 90%
will work.
,23.Proxy Data - ANSWER ✔ Used when data to support a business objective
is not available
24.Sample Size Calculator - ANSWER ✔ Tells you how many people you
need to interview to get results that represents the target population.
25.Calculating Margin of Error - ANSWER ✔ Requires population Size,
Confidence Level, Sample Size
26.Dirty data - ANSWER ✔ Incomplete, incorrect, or irrelevant to the
problem trying to be solved.
27.Clean Data - ANSWER ✔ Complete, Correct, and relevant to the problem
you are trying to be solve
28.Spreadsheet Applications - ANSWER ✔ Cleaning tools such as conditional
formatting, removing duplicates, formatting dates, splitting text to columns
29.CONCATENATE - ANSWER ✔ Function that joins together two or more
text strings
30.Data Cleaning - ANSWER ✔ the process of checking data for errors after
the data have been entered in a computer file
31.SQL Function: CAST - ANSWER ✔ Used to typecast text strings into
floats and convert anything from one data type to another. It can also be used
to change strings into other data types like time and date
32.SQL Function: COALESCE - ANSWER ✔ Used to return non-null values
in a list.
33.SQL FUNCTION: UPDATE - ANSWER ✔ Modifies values in certain
cells of a table based on conditions
34.data mapping - ANSWER ✔
, 35.camelcase - ANSWER ✔ camelCase, first letter of second word is
capitalized
36.Data analysis - ANSWER ✔ The process of inspecting, cleansing,
transforming, and modeling data to discover useful information.
37.Exploratory data analysis (EDA) - ANSWER ✔ To summarize the main
characteristics of a dataset and uncover patterns.
38.Common tool for data analysis - ANSWER ✔ Spreadsheet software (e.g.,
Excel, Google Sheets).
39.Common programming language for data analysis - ANSWER ✔ Python.
40.Common statistical software package for data analysis - ANSWER ✔
SPSS.
41.Descriptive statistics - ANSWER ✔ Summarize data.
42.Inferential statistics - ANSWER ✔ Make predictions or inferences about a
population based on a sample.
43.Purpose of data visualization - ANSWER ✔ To present data in a graphical
or pictorial format to make it easier to understand.
44.Best chart for showing trends over time - ANSWER ✔ Line chart.
45.Best chart for comparing categories - ANSWER ✔ Bar chart.
46.Best chart for showing the distribution of a single variable - ANSWER ✔
Histogram.
47.Dashboard in data visualization - ANSWER ✔ A collection of
visualizations that provide a comprehensive overview of data.
48.Purpose of labeling charts and graphs - ANSWER ✔ To provide context
and make the visualization easy to understand.
